Application of least squares support vector regression and linear multiple regression for modeling removal of methyl orange onto tin oxide nanoparticles loaded on activated carbon and activated carbon prepared from Pistacia atlantica wood-Reference-Cited by-同舟云学术

Application of least squares support vector regression and linear multiple regression for modeling removal of methyl orange onto tin oxide nanoparticles loaded on activated carbon and activated carbon prepared from Pistacia atlantica wood

Published:2016-01 Issue: Volume:461 Page:425-434
ISSN:0021-9797
Container-title:Journal of Colloid and Interface Science
language:en
Short-container-title:Journal of Colloid and Interface Science

Author:

Ghaedi M.,Rahimi Mahmoud reza,Ghaedi A.M.,Tyagi Inderjeet,Agarwal Shilpi,Gupta Vinod Kumar

Publisher

Elsevier BV

Subject

Colloid and Surface Chemistry,Surfaces, Coatings and Films,Biomaterials,Electronic, Optical and Magnetic Materials

Reference57 articles.

1. Bioremediation of soils contaminated with polycyclic aromatic hydrocarbons, petroleum, pesticides, chlorophenols and heavy metals by composting: Applications, microbes and future research needs

2. Molecular basis of laccase bound to lignin: insight from comparative studies on the interaction of Trametes versicolor laccase with various lignin model compounds

3. Risks of Neonicotinoid Pesticides

4. Surface force measurements at the basal planes of ordered kaolinite particles

5. Multi-walled carbon nanotubes-ionic liquid-carbon paste electrode as a super selectivity sensor: Application to potentiometric monitoring of mercury ion(II)

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